20h agoMixedbread AI uses sparse autoencoders to extract indexable latent terms from dense embeddings for BM25 retrievalThe technique maps hidden activations into interpretable lexical featuresSentimentSentimentPos100%Neg0%Users are excited about embedding models yielding hidden sparse terms that strengthen BM25 retrieval, calling the approach cool and praising BM25 itself.3 comments with sentiment. View comments.